Tropical Cyclones in Season 18 and Region 'IO'
Data found for 8 storms

Year: 2018

2018 Region: IO (8 storms)

Name TC Season Region Storm Number Start Date End Date Duration
Four 18 IO 4 Sept. 19, 2018 Sept. 21, 2018 2 days View
Gaja 18 IO 7 Nov. 6, 2018 Nov. 22, 2018 2 weeks, 2 days View
Luban 18 IO 5 Oct. 5, 2018 Oct. 14, 2018 1 week, 2 days View
Mekunu 18 IO 2 May 20, 2018 May 27, 2018 1 week View
Phethai 18 IO 8 Dec. 11, 2018 Dec. 18, 2018 1 week View
Sagar 18 IO 1 May 15, 2018 May 20, 2018 5 days View
Three 18 IO 3 May 28, 2018 May 29, 2018 1 day View
Titli 18 IO 6 Oct. 6, 2018 Oct. 12, 2018 6 days View

Data Sources

  • World Wide Lightning Location Network (WWLLN)
  • Satellite data and storm track data from the Naval Research Laboratory

    • How to Reference WWLLN-TC

    If you include data from this site in your research, please reference the WWLLN-TC Eos Project Update article:

    Solorzano, N. N., J. N. Thomas, and C. Bracy (2018), Monitoring tropical cyclones with lightning and satellite data, Eos, 99, https://doi.org/10.1029/2018EO092439 . Published on 19 February 2018.

    https://eos.org/project-updates/monitoring-tropical-cyclones-with-lightning-and-satellite-data

    Related References

  • Thomas, J. N., N. N. Solorzano, S. A. Cummer, and R. H. Holzworth (2010), Polarity and energetics of inner core lightning in three intense North Atlantic hurricanes, J. Geophys. Res., 115, A00E15, doi:10.1029/2009JA014777.
  • Solorzano, N. N., J. N. Thomas, and R. H. Holzworth, Global studies of tropical cyclones using the World Wide Lightning Location Network, Third Conf. on Meteo. Applic. of Lightning Data, New Orleans, LA, 2008.

    • Disclaimer

    WWLLN and the U. of Washington are not responsible for use of these data in the forecasting of tropical cyclones.

    Data Access

    This website includes visualizations of WWLLN lightning data, but does not include stroke level data. For stroke level data, please contact Bob Holzworth at bobholz@u.washington.edu.

    Near Real-Time Data

    Note that WWLLN data used for archiving is processed separately from almost real-time WWLLN data. This may cause differences in visualizations as they appear in almost real-time compared with archived versions.

    About

    Developed by Jeremy Thomas, Natalia Solorzano, Matthew Wendel, and Connor Bracy. Technical support from Carl Christofferson. WWLLN support from Robert Holzworth. Project is a collaboration involving the Earth and Space Science Dept. at U. of Washington, DigiPen Institute of Technology, and NorthWest Research Associates. Questions, contact Jeremy Thomas (jnt@uw.edu)